{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "whjsJasuhstV"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/github/jeffheaton/app_generative_ai/blob/main/t81_559_class_09_5_illustrated_book.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "euOZxlIMhstX"
   },
   "source": [
    "# T81-559: Applications of Generative Artificial Intelligence\n",
    "**Module 9: MultiModal and Text to Image Models**\n",
    "* Instructor: [Jeff Heaton](https://sites.wustl.edu/jeffheaton/), McKelvey School of Engineering, [Washington University in St. Louis](https://engineering.wustl.edu/Programs/Pages/default.aspx)\n",
    "* For more information visit the [class website](https://sites.wustl.edu/jeffheaton/t81-558/)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "d4Yov72PhstY"
   },
   "source": [
    "# Module 9 Material\n",
    "\n",
    "Module 9: MultiModal and Text to Image\n",
    "\n",
    "* Part 9.1: Introduction to MultiModal and Text to Image [[Video]](https://www.youtube.com/watch?v=lcUsade04pg&ab_channel=JeffHeaton) [[Notebook]](t81_559_class_09_1_image_genai.ipynb)\n",
    "* Part 9.2: Generating Images with DALL·E Kaggle Notebooks [[Video]](https://www.youtube.com/watch?v=CBfT1y1V1e0&ab_channel=JeffHeaton) [[Notebook]](t81_559_class_09_2_dalle.ipynb)\n",
    "* Part 9.3: DALL·E Existing Images [[Video]](https://youtube.com/watch?v=5gdaXrJs3Kk&ab_channel=JeffHeaton) [[Notebook]](t81_559_class_09_3_dalle_existing.ipynb)\n",
    "* Part 9.4: MultiModal Models [[Video]](https://www.youtube.com/watch?v=rYlj9t_wlFA&ab_channel=JeffHeaton) [[Notebook]](t81_559_class_09_4_multimodal.ipynb)\n",
    "* **Part 9.5: Illustrated Book** [[Video]](https://www.youtube.com/watch?v=TTGen7P3ScU&ab_channel=JeffHeaton) [[Notebook]](t81_559_class_09_5_illustrated_book.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "AcAUP0c3hstY"
   },
   "source": [
    "# Google CoLab Instructions\n",
    "\n",
    "The following code ensures that Google CoLab is running and maps Google Drive if needed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "xsI496h5hstZ",
    "outputId": "0748be94-1f6d-4cf9-b4d0-d19094799184"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note: using Google CoLab\n",
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      "  Stored in directory: /root/.cache/pip/wheels/47/07/ce/f83cde6e9b0a616486c17e1e172965d90c6cdb85ae4c9f77fb\n",
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      "Installing collected packages: wkhtmltopdf, pdfkit, tenacity, pypdf, orjson, mypy-extensions, marshmallow, jsonpointer, jiter, h11, typing-inspect, tiktoken, jsonpatch, httpcore, httpx, dataclasses-json, openai, langsmith, langchain-core, langchain-text-splitters, langchain_openai, langchain, langchain_community\n",
      "  Attempting uninstall: tenacity\n",
      "    Found existing installation: tenacity 9.0.0\n",
      "    Uninstalling tenacity-9.0.0:\n",
      "      Successfully uninstalled tenacity-9.0.0\n",
      "Successfully installed dataclasses-json-0.6.7 h11-0.14.0 httpcore-1.0.5 httpx-0.27.2 jiter-0.5.0 jsonpatch-1.33 jsonpointer-3.0.0 langchain-0.2.16 langchain-core-0.2.39 langchain-text-splitters-0.2.4 langchain_community-0.2.16 langchain_openai-0.1.23 langsmith-0.1.118 marshmallow-3.22.0 mypy-extensions-1.0.0 openai-1.45.0 orjson-3.10.7 pdfkit-1.0.0 pypdf-4.3.1 tenacity-8.5.0 tiktoken-0.7.0 typing-inspect-0.9.0 wkhtmltopdf-0.2\n",
      "Reading package lists... Done\n",
      "Building dependency tree... Done\n",
      "Reading state information... Done\n",
      "The following additional packages will be installed:\n",
      "  avahi-daemon bind9-host bind9-libs geoclue-2.0 glib-networking glib-networking-common\n",
      "  glib-networking-services gsettings-desktop-schemas iio-sensor-proxy libavahi-core7 libavahi-glib1\n",
      "  libdaemon0 libevdev2 libfontenc1 libgudev-1.0-0 libhyphen0 libinput-bin libinput10\n",
      "  libjson-glib-1.0-0 libjson-glib-1.0-common liblmdb0 libmaxminddb0 libmbim-glib4 libmbim-proxy\n",
      "  libmd4c0 libmm-glib0 libmtdev1 libnl-genl-3-200 libnotify4 libnss-mdns libproxy1v5 libqmi-glib5\n",
      "  libqmi-proxy libqt5core5a libqt5dbus5 libqt5gui5 libqt5network5 libqt5positioning5\n",
      "  libqt5printsupport5 libqt5qml5 libqt5qmlmodels5 libqt5quick5 libqt5sensors5 libqt5svg5\n",
      "  libqt5webchannel5 libqt5webkit5 libqt5widgets5 libsoup2.4-1 libsoup2.4-common libudev1\n",
      "  libwacom-bin libwacom-common libwacom9 libwoff1 libxcb-icccm4 libxcb-image0 libxcb-keysyms1\n",
      "  libxcb-render-util0 libxcb-util1 libxcb-xinerama0 libxcb-xinput0 libxcb-xkb1 libxfont2\n",
      "  libxkbcommon-x11-0 libxkbfile1 modemmanager qt5-gtk-platformtheme qttranslations5-l10n\n",
      "  session-migration systemd-hwe-hwdb udev usb-modeswitch usb-modeswitch-data wpasupplicant\n",
      "  x11-xkb-utils xfonts-base xfonts-encodings xfonts-utils xnest xserver-common\n",
      "Suggested packages:\n",
      "  avahi-autoipd mmdb-bin gnome-shell | notification-daemon avahi-autoipd | zeroconf\n",
      "  qt5-image-formats-plugins qtwayland5 qt5-qmltooling-plugins comgt wvdial wpagui\n",
      "  libengine-pkcs11-openssl\n",
      "The following NEW packages will be installed:\n",
      "  avahi-daemon bind9-host bind9-libs geoclue-2.0 glib-networking glib-networking-common\n",
      "  glib-networking-services gsettings-desktop-schemas iio-sensor-proxy libavahi-core7 libavahi-glib1\n",
      "  libdaemon0 libevdev2 libfontenc1 libgudev-1.0-0 libhyphen0 libinput-bin libinput10\n",
      "  libjson-glib-1.0-0 libjson-glib-1.0-common liblmdb0 libmaxminddb0 libmbim-glib4 libmbim-proxy\n",
      "  libmd4c0 libmm-glib0 libmtdev1 libnl-genl-3-200 libnotify4 libnss-mdns libproxy1v5 libqmi-glib5\n",
      "  libqmi-proxy libqt5core5a libqt5dbus5 libqt5gui5 libqt5network5 libqt5positioning5\n",
      "  libqt5printsupport5 libqt5qml5 libqt5qmlmodels5 libqt5quick5 libqt5sensors5 libqt5svg5\n",
      "  libqt5webchannel5 libqt5webkit5 libqt5widgets5 libsoup2.4-1 libsoup2.4-common libwacom-bin\n",
      "  libwacom-common libwacom9 libwoff1 libxcb-icccm4 libxcb-image0 libxcb-keysyms1\n",
      "  libxcb-render-util0 libxcb-util1 libxcb-xinerama0 libxcb-xinput0 libxcb-xkb1 libxfont2\n",
      "  libxkbcommon-x11-0 libxkbfile1 modemmanager qt5-gtk-platformtheme qttranslations5-l10n\n",
      "  session-migration systemd-hwe-hwdb udev usb-modeswitch usb-modeswitch-data wkhtmltopdf\n",
      "  wpasupplicant x11-xkb-utils xfonts-base xfonts-encodings xfonts-utils xnest xserver-common\n",
      "The following packages will be upgraded:\n",
      "  libudev1\n",
      "1 upgraded, 80 newly installed, 0 to remove and 48 not upgraded.\n",
      "Need to get 44.6 MB of archives.\n",
      "After this operation, 156 MB of additional disk space will be used.\n",
      "Get:1 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libavahi-core7 amd64 0.8-5ubuntu5.2 [90.8 kB]\n",
      "Get:2 http://archive.ubuntu.com/ubuntu jammy/main amd64 libdaemon0 amd64 0.14-7.1ubuntu3 [14.1 kB]\n",
      "Get:3 http://archive.ubuntu.com/ubuntu jammy/main amd64 liblmdb0 amd64 0.9.24-1build2 [47.6 kB]\n",
      "Get:4 http://archive.ubuntu.com/ubuntu jammy/main amd64 libmaxminddb0 amd64 1.5.2-1build2 [24.7 kB]\n",
      "Get:5 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 bind9-libs amd64 1:9.18.28-0ubuntu0.22.04.1 [1,256 kB]\n",
      "Get:6 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 bind9-host amd64 1:9.18.28-0ubuntu0.22.04.1 [52.6 kB]\n",
      "Get:7 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 avahi-daemon amd64 0.8-5ubuntu5.2 [69.7 kB]\n",
      "Get:8 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 libqt5core5a amd64 5.15.3+dfsg-2ubuntu0.2 [2,006 kB]\n",
      "Get:9 http://archive.ubuntu.com/ubuntu jammy/main amd64 libevdev2 amd64 1.12.1+dfsg-1 [39.5 kB]\n",
      "Get:10 http://archive.ubuntu.com/ubuntu jammy/main amd64 libmtdev1 amd64 1.1.6-1build4 [14.5 kB]\n",
      "Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libudev1 amd64 249.11-0ubuntu3.12 [78.2 kB]\n",
      "Get:12 http://archive.ubuntu.com/ubuntu jammy/main amd64 libgudev-1.0-0 amd64 1:237-2build1 [16.3 kB]\n",
      "Get:13 http://archive.ubuntu.com/ubuntu jammy/main amd64 libwacom-common all 2.2.0-1 [54.3 kB]\n",
      "Get:14 http://archive.ubuntu.com/ubuntu jammy/main amd64 libwacom9 amd64 2.2.0-1 [22.0 kB]\n",
      "Get:15 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libinput-bin amd64 1.20.0-1ubuntu0.3 [19.9 kB]\n",
      "Get:16 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libinput10 amd64 1.20.0-1ubuntu0.3 [131 kB]\n",
      "Get:17 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libmd4c0 amd64 0.4.8-1 [42.0 kB]\n",
      "Get:18 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 libqt5dbus5 amd64 5.15.3+dfsg-2ubuntu0.2 [222 kB]\n",
      "Get:19 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 libqt5network5 amd64 5.15.3+dfsg-2ubuntu0.2 [731 kB]\n",
      "Get:20 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-icccm4 amd64 0.4.1-1.1build2 [11.5 kB]\n",
      "Get:21 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-util1 amd64 0.4.0-1build2 [11.4 kB]\n",
      "Get:22 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-image0 amd64 0.4.0-2 [11.5 kB]\n",
      "Get:23 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-keysyms1 amd64 0.4.0-1build3 [8,746 B]\n",
      "Get:24 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-render-util0 amd64 0.3.9-1build3 [10.3 kB]\n",
      "Get:25 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-xinerama0 amd64 1.14-3ubuntu3 [5,414 B]\n",
      "Get:26 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-xinput0 amd64 1.14-3ubuntu3 [34.3 kB]\n",
      "Get:27 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-xkb1 amd64 1.14-3ubuntu3 [32.8 kB]\n",
      "Get:28 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxkbcommon-x11-0 amd64 1.4.0-1 [14.4 kB]\n",
      "Get:29 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 libqt5gui5 amd64 5.15.3+dfsg-2ubuntu0.2 [3,722 kB]\n",
      "Get:30 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 libqt5widgets5 amd64 5.15.3+dfsg-2ubuntu0.2 [2,561 kB]\n",
      "Get:31 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libqt5svg5 amd64 5.15.3-1 [149 kB]\n",
      "Get:32 http://archive.ubuntu.com/ubuntu jammy/main amd64 libhyphen0 amd64 2.8.8-7build2 [28.2 kB]\n",
      "Get:33 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libqt5positioning5 amd64 5.15.3+dfsg-3 [223 kB]\n",
      "Get:34 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 libqt5printsupport5 amd64 5.15.3+dfsg-2ubuntu0.2 [214 kB]\n",
      "Get:35 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libqt5qml5 amd64 5.15.3+dfsg-1 [1,472 kB]\n",
      "Get:36 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libqt5qmlmodels5 amd64 5.15.3+dfsg-1 [205 kB]\n",
      "Get:37 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libqt5quick5 amd64 5.15.3+dfsg-1 [1,748 kB]\n",
      "Get:38 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libqt5sensors5 amd64 5.15.3-1 [123 kB]\n",
      "Get:39 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libqt5webchannel5 amd64 5.15.3-1 [62.9 kB]\n",
      "Get:40 http://archive.ubuntu.com/ubuntu jammy/main amd64 libwoff1 amd64 1.0.2-1build4 [45.2 kB]\n",
      "Get:41 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libqt5webkit5 amd64 5.212.0~alpha4-15ubuntu1 [12.8 MB]\n",
      "Get:42 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 udev amd64 249.11-0ubuntu3.12 [1,557 kB]\n",
      "Get:43 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libavahi-glib1 amd64 0.8-5ubuntu5.2 [8,296 B]\n",
      "Get:44 http://archive.ubuntu.com/ubuntu jammy/main amd64 libjson-glib-1.0-common all 1.6.6-1build1 [4,432 B]\n",
      "Get:45 http://archive.ubuntu.com/ubuntu jammy/main amd64 libjson-glib-1.0-0 amd64 1.6.6-1build1 [69.9 kB]\n",
      "Get:46 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libmm-glib0 amd64 1.20.0-1~ubuntu22.04.3 [263 kB]\n",
      "Get:47 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libnotify4 amd64 0.7.9-3ubuntu5.22.04.1 [20.3 kB]\n",
      "Get:48 http://archive.ubuntu.com/ubuntu jammy/main amd64 libproxy1v5 amd64 0.4.17-2 [51.9 kB]\n",
      "Get:49 http://archive.ubuntu.com/ubuntu jammy/main amd64 glib-networking-common all 2.72.0-1 [3,718 B]\n",
      "Get:50 http://archive.ubuntu.com/ubuntu jammy/main amd64 glib-networking-services amd64 2.72.0-1 [9,982 B]\n",
      "Get:51 http://archive.ubuntu.com/ubuntu jammy/main amd64 session-migration amd64 0.3.6 [9,774 B]\n",
      "Get:52 http://archive.ubuntu.com/ubuntu jammy/main amd64 gsettings-desktop-schemas all 42.0-1ubuntu1 [31.1 kB]\n",
      "Get:53 http://archive.ubuntu.com/ubuntu jammy/main amd64 glib-networking amd64 2.72.0-1 [69.8 kB]\n",
      "Get:54 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsoup2.4-common all 2.74.2-3 [4,008 B]\n",
      "Get:55 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsoup2.4-1 amd64 2.74.2-3 [287 kB]\n",
      "Get:56 http://archive.ubuntu.com/ubuntu jammy/main amd64 geoclue-2.0 amd64 2.5.7-3ubuntu3 [111 kB]\n",
      "Get:57 http://archive.ubuntu.com/ubuntu jammy/main amd64 iio-sensor-proxy amd64 3.3-0ubuntu6 [34.4 kB]\n",
      "Get:58 http://archive.ubuntu.com/ubuntu jammy/main amd64 libfontenc1 amd64 1:1.1.4-1build3 [14.7 kB]\n",
      "Get:59 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libmbim-glib4 amd64 1.28.0-1~ubuntu20.04.1 [191 kB]\n",
      "Get:60 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libmbim-proxy amd64 1.28.0-1~ubuntu20.04.1 [6,130 B]\n",
      "Get:61 http://archive.ubuntu.com/ubuntu jammy/main amd64 libnl-genl-3-200 amd64 3.5.0-0.1 [12.4 kB]\n",
      "Get:62 http://archive.ubuntu.com/ubuntu jammy/main amd64 libnss-mdns amd64 0.15.1-1ubuntu1 [27.0 kB]\n",
      "Get:63 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libqmi-glib5 amd64 1.32.0-1ubuntu0.22.04.1 [772 kB]\n",
      "Get:64 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libqmi-proxy amd64 1.32.0-1ubuntu0.22.04.1 [6,072 B]\n",
      "Get:65 http://archive.ubuntu.com/ubuntu jammy/main amd64 libwacom-bin amd64 2.2.0-1 [13.6 kB]\n",
      "Get:66 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxfont2 amd64 1:2.0.5-1build1 [94.5 kB]\n",
      "Get:67 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxkbfile1 amd64 1:1.1.0-1build3 [71.8 kB]\n",
      "Get:68 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 modemmanager amd64 1.20.0-1~ubuntu22.04.3 [1,094 kB]\n",
      "Get:69 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 qt5-gtk-platformtheme amd64 5.15.3+dfsg-2ubuntu0.2 [130 kB]\n",
      "Get:70 http://archive.ubuntu.com/ubuntu jammy/universe amd64 qttranslations5-l10n all 5.15.3-1 [1,983 kB]\n",
      "Get:71 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 systemd-hwe-hwdb all 249.11.5 [3,228 B]\n",
      "Get:72 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 wpasupplicant amd64 2:2.10-6ubuntu2.1 [1,482 kB]\n",
      "Get:73 http://archive.ubuntu.com/ubuntu jammy/main amd64 x11-xkb-utils amd64 7.7+5build4 [172 kB]\n",
      "Get:74 http://archive.ubuntu.com/ubuntu jammy/main amd64 xfonts-encodings all 1:1.0.5-0ubuntu2 [578 kB]\n",
      "Get:75 http://archive.ubuntu.com/ubuntu jammy/main amd64 xfonts-utils amd64 1:7.7+6build2 [94.6 kB]\n",
      "Get:76 http://archive.ubuntu.com/ubuntu jammy/main amd64 xfonts-base all 1:1.0.5 [5,896 kB]\n",
      "Get:77 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 xserver-common all 2:21.1.4-2ubuntu1.7~22.04.11 [28.6 kB]\n",
      "Get:78 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 xnest amd64 2:21.1.4-2ubuntu1.7~22.04.11 [712 kB]\n",
      "Get:79 http://archive.ubuntu.com/ubuntu jammy/main amd64 usb-modeswitch-data all 20191128-4 [33.2 kB]\n",
      "Get:80 http://archive.ubuntu.com/ubuntu jammy/main amd64 usb-modeswitch amd64 2.6.1-3ubuntu2 [46.0 kB]\n",
      "Get:81 http://archive.ubuntu.com/ubuntu jammy/universe amd64 wkhtmltopdf amd64 0.12.6-2 [173 kB]\n",
      "Fetched 44.6 MB in 7s (6,827 kB/s)\n",
      "Extracting templates from packages: 100%\n",
      "Selecting previously unselected package libavahi-core7:amd64.\n",
      "(Reading database ... 123597 files and directories currently installed.)\n",
      "Preparing to unpack .../00-libavahi-core7_0.8-5ubuntu5.2_amd64.deb ...\n",
      "Unpacking libavahi-core7:amd64 (0.8-5ubuntu5.2) ...\n",
      "Selecting previously unselected package libdaemon0:amd64.\n",
      "Preparing to unpack .../01-libdaemon0_0.14-7.1ubuntu3_amd64.deb ...\n",
      "Unpacking libdaemon0:amd64 (0.14-7.1ubuntu3) ...\n",
      "Selecting previously unselected package liblmdb0:amd64.\n",
      "Preparing to unpack .../02-liblmdb0_0.9.24-1build2_amd64.deb ...\n",
      "Unpacking liblmdb0:amd64 (0.9.24-1build2) ...\n",
      "Selecting previously unselected package libmaxminddb0:amd64.\n",
      "Preparing to unpack .../03-libmaxminddb0_1.5.2-1build2_amd64.deb ...\n",
      "Unpacking libmaxminddb0:amd64 (1.5.2-1build2) ...\n",
      "Selecting previously unselected package bind9-libs:amd64.\n",
      "Preparing to unpack .../04-bind9-libs_1%3a9.18.28-0ubuntu0.22.04.1_amd64.deb ...\n",
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      "Unpacking libqt5core5a:amd64 (5.15.3+dfsg-2ubuntu0.2) ...\n",
      "Selecting previously unselected package libevdev2:amd64.\n",
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      "Unpacking libudev1:amd64 (249.11-0ubuntu3.12) over (249.11-0ubuntu3.10) ...\n",
      "Setting up libudev1:amd64 (249.11-0ubuntu3.12) ...\n",
      "Selecting previously unselected package libgudev-1.0-0:amd64.\n",
      "(Reading database ... 123696 files and directories currently installed.)\n",
      "Preparing to unpack .../00-libgudev-1.0-0_1%3a237-2build1_amd64.deb ...\n",
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      "Selecting previously unselected package libxcb-icccm4:amd64.\n",
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      "Unpacking libxcb-keysyms1:amd64 (0.4.0-1build3) ...\n",
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      "Selecting previously unselected package udev.\n",
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      "Selecting previously unselected package libavahi-glib1:amd64.\n",
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      "Selecting previously unselected package libjson-glib-1.0-common.\n",
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      "Selecting previously unselected package libnl-genl-3-200:amd64.\n",
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      "Selecting previously unselected package libwacom-bin.\n",
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      "Setting up liblmdb0:amd64 (0.9.24-1build2) ...\n",
      "Setting up session-migration (0.3.6) ...\n",
      "Created symlink /etc/systemd/user/graphical-session-pre.target.wants/session-migration.service → /usr/lib/systemd/user/session-migration.service.\n",
      "Setting up libproxy1v5:amd64 (0.4.17-2) ...\n",
      "Setting up libxcb-xinput0:amd64 (1.14-3ubuntu3) ...\n",
      "Setting up libwoff1:amd64 (1.0.2-1build4) ...\n",
      "Setting up libhyphen0:amd64 (2.8.8-7build2) ...\n",
      "Setting up libmaxminddb0:amd64 (1.5.2-1build2) ...\n",
      "Setting up libxcb-keysyms1:amd64 (0.4.0-1build3) ...\n",
      "Setting up libxcb-render-util0:amd64 (0.3.9-1build3) ...\n",
      "Setting up libxcb-icccm4:amd64 (0.4.1-1.1build2) ...\n",
      "Setting up libxcb-util1:amd64 (0.4.0-1build2) ...\n",
      "Setting up libxcb-xkb1:amd64 (1.14-3ubuntu3) ...\n",
      "Setting up libxcb-image0:amd64 (0.4.0-2) ...\n",
      "Setting up libfontenc1:amd64 (1:1.1.4-1build3) ...\n",
      "Setting up libxcb-xinerama0:amd64 (1.14-3ubuntu3) ...\n",
      "Setting up qttranslations5-l10n (5.15.3-1) ...\n",
      "Setting up libnotify4:amd64 (0.7.9-3ubuntu5.22.04.1) ...\n",
      "Setting up xfonts-encodings (1:1.0.5-0ubuntu2) ...\n",
      "Setting up libxkbcommon-x11-0:amd64 (1.4.0-1) ...\n",
      "Setting up usb-modeswitch-data (20191128-4) ...\n",
      "Setting up udev (249.11-0ubuntu3.12) ...\n",
      "invoke-rc.d: could not determine current runlevel\n",
      "invoke-rc.d: policy-rc.d denied execution of start.\n",
      "Setting up libqt5core5a:amd64 (5.15.3+dfsg-2ubuntu0.2) ...\n",
      "Setting up libmtdev1:amd64 (1.1.6-1build4) ...\n",
      "Setting up libsoup2.4-common (2.74.2-3) ...\n",
      "Setting up systemd-hwe-hwdb (249.11.5) ...\n",
      "Setting up libmm-glib0:amd64 (1.20.0-1~ubuntu22.04.3) ...\n",
      "Setting up libqt5dbus5:amd64 (5.15.3+dfsg-2ubuntu0.2) ...\n",
      "Setting up libnl-genl-3-200:amd64 (3.5.0-0.1) ...\n",
      "Setting up libmd4c0:amd64 (0.4.8-1) ...\n",
      "Setting up libavahi-glib1:amd64 (0.8-5ubuntu5.2) ...\n",
      "Setting up libjson-glib-1.0-common (1.6.6-1build1) ...\n",
      "Setting up usb-modeswitch (2.6.1-3ubuntu2) ...\n",
      "Setting up libxkbfile1:amd64 (1:1.1.0-1build3) ...\n",
      "Setting up glib-networking-common (2.72.0-1) ...\n",
      "Setting up libqt5sensors5:amd64 (5.15.3-1) ...\n",
      "Setting up libdaemon0:amd64 (0.14-7.1ubuntu3) ...\n",
      "Setting up libavahi-core7:amd64 (0.8-5ubuntu5.2) ...\n",
      "Setting up libnss-mdns:amd64 (0.15.1-1ubuntu1) ...\n",
      "First installation detected...\n",
      "Checking NSS setup...\n",
      "Setting up libxfont2:amd64 (1:2.0.5-1build1) ...\n",
      "Setting up libevdev2:amd64 (1.12.1+dfsg-1) ...\n",
      "Setting up libgudev-1.0-0:amd64 (1:237-2build1) ...\n",
      "Setting up libmbim-glib4:amd64 (1.28.0-1~ubuntu20.04.1) ...\n",
      "Setting up libwacom-common (2.2.0-1) ...\n",
      "Setting up gsettings-desktop-schemas (42.0-1ubuntu1) ...\n",
      "Setting up glib-networking-services (2.72.0-1) ...\n",
      "Setting up iio-sensor-proxy (3.3-0ubuntu6) ...\n",
      "Setting up bind9-libs:amd64 (1:9.18.28-0ubuntu0.22.04.1) ...\n",
      "Setting up libwacom9:amd64 (2.2.0-1) ...\n",
      "Setting up x11-xkb-utils (7.7+5build4) ...\n",
      "Setting up libqt5positioning5:amd64 (5.15.3+dfsg-3) ...\n",
      "Setting up libmbim-proxy (1.28.0-1~ubuntu20.04.1) ...\n",
      "Setting up xfonts-utils (1:7.7+6build2) ...\n",
      "Setting up libqt5network5:amd64 (5.15.3+dfsg-2ubuntu0.2) ...\n",
      "Setting up libjson-glib-1.0-0:amd64 (1.6.6-1build1) ...\n",
      "Setting up libinput-bin (1.20.0-1ubuntu0.3) ...\n",
      "Setting up wpasupplicant (2:2.10-6ubuntu2.1) ...\n",
      "Created symlink /etc/systemd/system/dbus-fi.w1.wpa_supplicant1.service → /lib/systemd/system/wpa_supplicant.service.\n",
      "Created symlink /etc/systemd/system/multi-user.target.wants/wpa_supplicant.service → /lib/systemd/system/wpa_supplicant.service.\n",
      "Setting up xfonts-base (1:1.0.5) ...\n",
      "Setting up libqt5qml5:amd64 (5.15.3+dfsg-1) ...\n",
      "Setting up libqt5webchannel5:amd64 (5.15.3-1) ...\n",
      "Setting up libwacom-bin (2.2.0-1) ...\n",
      "Setting up xserver-common (2:21.1.4-2ubuntu1.7~22.04.11) ...\n",
      "Setting up bind9-host (1:9.18.28-0ubuntu0.22.04.1) ...\n",
      "Setting up libinput10:amd64 (1.20.0-1ubuntu0.3) ...\n",
      "Setting up libqt5qmlmodels5:amd64 (5.15.3+dfsg-1) ...\n",
      "Setting up libqt5gui5:amd64 (5.15.3+dfsg-2ubuntu0.2) ...\n",
      "Setting up libqmi-glib5:amd64 (1.32.0-1ubuntu0.22.04.1) ...\n",
      "Setting up libqt5widgets5:amd64 (5.15.3+dfsg-2ubuntu0.2) ...\n",
      "Setting up qt5-gtk-platformtheme:amd64 (5.15.3+dfsg-2ubuntu0.2) ...\n",
      "Setting up libqt5printsupport5:amd64 (5.15.3+dfsg-2ubuntu0.2) ...\n",
      "Setting up avahi-daemon (0.8-5ubuntu5.2) ...\n",
      "invoke-rc.d: could not determine current runlevel\n",
      "invoke-rc.d: policy-rc.d denied execution of force-reload.\n",
      "invoke-rc.d: could not determine current runlevel\n",
      "invoke-rc.d: policy-rc.d denied execution of start.\n",
      "Created symlink /etc/systemd/system/dbus-org.freedesktop.Avahi.service → /lib/systemd/system/avahi-daemon.service.\n",
      "Created symlink /etc/systemd/system/multi-user.target.wants/avahi-daemon.service → /lib/systemd/system/avahi-daemon.service.\n",
      "Created symlink /etc/systemd/system/sockets.target.wants/avahi-daemon.socket → /lib/systemd/system/avahi-daemon.socket.\n",
      "Setting up xnest (2:21.1.4-2ubuntu1.7~22.04.11) ...\n",
      "Setting up libqt5quick5:amd64 (5.15.3+dfsg-1) ...\n",
      "Setting up libqt5svg5:amd64 (5.15.3-1) ...\n",
      "Setting up libqmi-proxy (1.32.0-1ubuntu0.22.04.1) ...\n",
      "Setting up libqt5webkit5:amd64 (5.212.0~alpha4-15ubuntu1) ...\n",
      "Setting up modemmanager (1.20.0-1~ubuntu22.04.3) ...\n",
      "Created symlink /etc/systemd/system/dbus-org.freedesktop.ModemManager1.service → /lib/systemd/system/ModemManager.service.\n",
      "Created symlink /etc/systemd/system/multi-user.target.wants/ModemManager.service → /lib/systemd/system/ModemManager.service.\n",
      "Setting up wkhtmltopdf (0.12.6-2) ...\n",
      "Processing triggers for man-db (2.10.2-1) ...\n",
      "Processing triggers for dbus (1.12.20-2ubuntu4.1) ...\n",
      "Processing triggers for fontconfig (2.13.1-4.2ubuntu5) ...\n",
      "Processing triggers for hicolor-icon-theme (0.17-2) ...\n",
      "Processing triggers for libglib2.0-0:amd64 (2.72.4-0ubuntu2.3) ...\n",
      "Processing triggers for libc-bin (2.35-0ubuntu3.4) ...\n",
      "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc.so.2 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_5.so.3 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libtbb.so.12 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libtbbbind.so.3 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc_proxy.so.2 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libur_adapter_opencl.so.0 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_0.so.3 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libur_loader.so.0 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libur_adapter_level_zero.so.0 is not a symbolic link\n",
      "\n",
      "Setting up glib-networking:amd64 (2.72.0-1) ...\n",
      "Setting up libsoup2.4-1:amd64 (2.74.2-3) ...\n",
      "Setting up geoclue-2.0 (2.5.7-3ubuntu3) ...\n",
      "Processing triggers for libc-bin (2.35-0ubuntu3.4) ...\n",
      "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc.so.2 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_5.so.3 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libtbb.so.12 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libtbbbind.so.3 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc_proxy.so.2 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libur_adapter_opencl.so.0 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_0.so.3 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libur_loader.so.0 is not a symbolic link\n",
      "\n",
      "/sbin/ldconfig.real: /usr/local/lib/libur_adapter_level_zero.so.0 is not a symbolic link\n",
      "\n",
      "Processing triggers for dbus (1.12.20-2ubuntu4.1) ...\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "try:\n",
    "    from google.colab import drive, userdata\n",
    "    COLAB = True\n",
    "    print(\"Note: using Google CoLab\")\n",
    "except:\n",
    "    print(\"Note: not using Google CoLab\")\n",
    "    COLAB = False\n",
    "\n",
    "# OpenAI Secrets\n",
    "if COLAB:\n",
    "    os.environ[\"OPENAI_API_KEY\"] = userdata.get('OPENAI_API_KEY')\n",
    "\n",
    "# Install needed libraries in CoLab\n",
    "if COLAB:\n",
    "    !pip install langchain langchain_openai langchain_community pypdf pdfkit wkhtmltopdf\n",
    "    !apt-get install wkhtmltopdf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pC9A-LaYhsta"
   },
   "source": [
    "# 3.5: LLM Writes a Book\n",
    "\n",
    "In a previous module, we built an LLM-based book generator that automated the creation of a book from start to finish. This process included generating a synopsis, outlining the table of contents, and then iteratively writing the chapters into a structured markdown document. Now, we will expand on that work by incorporating DALLE to generate a cover image for the book, adding a visual element to complement the text-based content.\n",
    "\n",
    "We begin by accessing a large language model with a temperature of 0.7. We use a higher temperature to encourage creativity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "dfISNTpwOKiZ"
   },
   "outputs": [],
   "source": [
    "from langchain.chains.summarize import load_summarize_chain\n",
    "from langchain import OpenAI, PromptTemplate\n",
    "from langchain_openai import ChatOpenAI\n",
    "from IPython.display import display_markdown\n",
    "\n",
    "MODEL = 'gpt-4o-mini'\n",
    "\n",
    "llm = ChatOpenAI(\n",
    "        model=MODEL,\n",
    "        temperature=0.7,\n",
    "        n=1\n",
    "    )\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "OLUWbW7NRp4m"
   },
   "source": [
    "We create a simple utility function to query the LLM with a custom system prompt. The system prompt tells the LLM that it is assisting in creating a book."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "v8vGrZcjTvwZ"
   },
   "outputs": [],
   "source": [
    "from langchain_core.messages import HumanMessage, SystemMessage\n",
    "from langchain_core.prompts.chat import (\n",
    "    ChatPromptTemplate,\n",
    "    HumanMessagePromptTemplate,\n",
    "    SystemMessagePromptTemplate,\n",
    ")\n",
    "from langchain_openai import ChatOpenAI\n",
    "\n",
    "def query_llm(prompt):\n",
    "  messages = [\n",
    "      SystemMessage(\n",
    "          content=\"You are assistant helping to write a book.\"\n",
    "      ),\n",
    "      HumanMessage(\n",
    "          content=prompt\n",
    "      ),\n",
    "  ]\n",
    "\n",
    "  output = llm.invoke(messages)\n",
    "  return output.content\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "X_ztTHIdolf7"
   },
   "source": [
    "\n",
    "In this section, we will expand the functionality of our LLM-based book generator by adding a visual component: a cover image for the book. While our previous work focused on generating a complete markdown document containing the book’s synopsis, table of contents, and chapters, this enhancement introduces the power of DALLE to generate a custom cover image based on the content of the book.\n",
    "\n",
    "The function render_dalle3 has been added to accomplish this. By leveraging the OpenAI API, we will generate an image using DALLE 3 based on a given prompt, which could be the title or a descriptive aspect of the book. This image is created at the required resolution of 1024x1024 pixels and can be resized to fit any custom dimensions specified by the user. The generated cover image will be saved as a JPEG file, and optionally, it can be displayed using the Python matplotlib library.\n",
    "\n",
    "This feature not only enriches the generated book with a professional cover but also demonstrates the seamless integration of text and image generation, making the book creation process even more comprehensive and visually appealing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "V7JXyc4RLDqx"
   },
   "outputs": [],
   "source": [
    "import io\n",
    "import requests\n",
    "from PIL import Image\n",
    "import matplotlib.pyplot as plt\n",
    "from openai import OpenAI\n",
    "\n",
    "def render_dalle3(prompt, filename, height, width):\n",
    "    # Initialize the OpenAI client\n",
    "    client = OpenAI()\n",
    "\n",
    "    # Generate the image using DALL-E 3 at the required 1024x1024 resolution\n",
    "    response = client.images.generate(\n",
    "        model=\"dall-e-3\",\n",
    "        prompt=prompt,\n",
    "        size=\"1024x1024\",  # DALL-E 3 requires 1024x1024\n",
    "        quality=\"standard\",\n",
    "        n=1,\n",
    "    )\n",
    "\n",
    "    # Get the image URL from the response\n",
    "    image_url = response.data[0].url\n",
    "\n",
    "    # Fetch the image content from the URL\n",
    "    response2 = requests.get(image_url)\n",
    "    img = Image.open(io.BytesIO(response2.content))\n",
    "\n",
    "    # Resize the image to the requested dimensions (height x width)\n",
    "    img_resized = img.resize((width, height), Image.LANCZOS)\n",
    "\n",
    "    # Save the resized image\n",
    "    img_resized.save(filename, \"JPEG\")\n",
    "\n",
    "    # Optionally display the resized image\n",
    "    plt.imshow(img_resized)\n",
    "    plt.axis('off')  # Hide the axes for a cleaner view\n",
    "    plt.show()\n",
    "\n",
    "    return img_resized\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FOWb0XT7RlYg"
   },
   "source": [
    "## Generate Title, Synopsis and Table of Contents\n",
    "\n",
    "For this book, we allow the user to specify the subject specified by the SUBJECT variable. We then request the LLM to generate a random title based on this subject. It is essential that the prompt request that the LLM only the; LLMs often like to prefix with text such as \"Here is a random title.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "YpEgTYV1TvpH",
    "outputId": "335d66ad-e5fe-4221-9492-a9c136102453"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Veil of Deception\n"
     ]
    }
   ],
   "source": [
    "SUBJECT = \"international spy thriller\"\n",
    "\n",
    "title = query_llm(f\"\"\"\n",
    "Give me a random title for a book on the subject '{SUBJECT}'.\n",
    "Return only the title, no additional text.\n",
    "\"\"\").strip(\" '\\\"\")\n",
    "print(title)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fXyOF_oYtMlR"
   },
   "source": [
    "Now that we have a title, we can request a random synopsis of the book."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "KxYdLzYCTvgQ",
    "outputId": "a6a0ea90-29cf-46ad-85c5-05d66194b8db"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In a world teetering on the brink of chaos, seasoned intelligence officer Mia Carter uncovers a covert operation orchestrated by a rogue faction within a powerful global organization. As she delves deeper, she discovers a web of deceit that spans continents, involving double agents, high-tech espionage, and a stolen bio-weapon capable of catastrophic destruction. Racing against time, Mia must navigate a labyrinth of betrayal while forming uneasy alliances with a mysterious hacker and a disillusioned ex-spy. With the clock ticking and enemies lurking at every turn, Mia must outsmart her adversaries and prevent an international incident that could ignite a war. In a high-stakes game of cat and mouse, loyalties will be tested, secrets will be revealed, and only the most cunning will survive in this electrifying international spy thriller.\n"
     ]
    }
   ],
   "source": [
    "synopsis = query_llm(f\"\"\"\n",
    "Give me a synopsis for a book of the title '{SUBJECT}' for a book on the subject '{SUBJECT}'.\n",
    "Return only the synopsis, no additional text.\n",
    "\"\"\").strip(\" '\\\"\")\n",
    "print(synopsis)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "U6ju-lJEttjw"
   },
   "source": [
    "Next, we generate the table of contents. For this generation, we provide all previous information. We also request a particular format for the table of contents. You may notice that I ask for the chapter numbers, even though they are an increasing numeric count and could easily be derived. This process works better because the LLM wants to provide the chapter numbers, and attempts to suppress chapter numbers are often inconsistent. It is easier to allow the LLM to generate chapter numbers but control where it generates them so that I can consistently remove them later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 444
    },
    "id": "v_8iDoi8NO-S",
    "outputId": "a13e2ee2-c6a3-4a07-a4de-d7ad45927282"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cover prompt: \"Book cover design for an electrifying international spy thriller, featuring a determined female intelligence officer in a dark, high-tech urban environment. Incorporate elements of espionage such as shadows of double agents, digital code, and a looming bio-weapon silhouette. The color scheme should be moody with blues and blacks, hinting at danger and intrigue, while the title appears in bold, striking font at the top.\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cover_prompt = query_llm(f\"Give me a stable diffusion prompt for the cover of a book with the following synopsis:\"\n",
    "                         f\"Return only the prompt, no extra text.\"\n",
    "                f\"{synopsis}\")\n",
    "print(f\"Cover prompt: {cover_prompt}\")\n",
    "# Get the current working directory\n",
    "current_directory = os.getcwd()\n",
    "# Combine the directory with the file name to get the absolute path\n",
    "file_path = os.path.join(current_directory, \"cover.jpg\")\n",
    "image = render_dalle3(cover_prompt, file_path, 768, 768)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "9IhXP9PJTvXq",
    "outputId": "b912ce36-57d3-47c4-9ea2-97e8d9554f51"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 | Shadows of Betrayal  \n",
      "2 | The Whispering Threat  \n",
      "3 | A Dangerous Alliance  \n",
      "4 | The Hacker's Code  \n",
      "5 | Undercover in the Abyss  \n",
      "6 | The Stolen Secrets  \n",
      "7 | A Race Against Time  \n",
      "8 | Web of Deceit  \n",
      "9 | The Ex-Spy's Redemption  \n",
      "10 | Unmasking the Enemy  \n",
      "11 | The Brink of War  \n",
      "12 | Double Edges  \n",
      "13 | Infiltration  \n",
      "14 | The Countdown Begins  \n",
      "15 | Betrayals Unveiled  \n",
      "16 | The Final Confrontation  \n",
      "17 | Echoes of the Past  \n",
      "18 | Unraveling the Veil  \n",
      "19 | A New Dawn  \n",
      "20 | The Price of Truth\n"
     ]
    }
   ],
   "source": [
    "toc = query_llm(f\"\"\"\n",
    "Give me a table of contents for a book of the title '{title}' for a book on\n",
    "the subject '{SUBJECT}' the book synopsis is '{synopsis}'.\n",
    "Return the table of contents as a list of chapter titles.\n",
    "Separate the chapter number and chapter title with a pipe character '|'.\n",
    "Return only the chapter names, no additional text.\n",
    "\"\"\").strip(\" '\\\"\")\n",
    "print(toc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Mvh6hlVBCN2f"
   },
   "source": [
    "We must now parse the table of contents and remove the pipes and chapter numbers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "k-A4RgyR3Mid",
    "outputId": "b7a2008d-b36a-4331-a775-59fe958ed55c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Shadows of Betrayal', 'The Whispering Threat', 'A Dangerous Alliance', \"The Hacker's Code\", 'Undercover in the Abyss', 'The Stolen Secrets', 'A Race Against Time', 'Web of Deceit', \"The Ex-Spy's Redemption\", 'Unmasking the Enemy', 'The Brink of War', 'Double Edges', 'Infiltration', 'The Countdown Begins', 'Betrayals Unveiled', 'The Final Confrontation', 'Echoes of the Past', 'Unraveling the Veil', 'A New Dawn', 'The Price of Truth']\n"
     ]
    }
   ],
   "source": [
    "# Split the string into lines\n",
    "lines = toc.splitlines()\n",
    "\n",
    "# Extract titles using list comprehension\n",
    "toc2 = [line.split('|')[1].strip() for line in lines if line]\n",
    "\n",
    "# Print the list of titles\n",
    "print(toc2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vMXLYGi_RxNp"
   },
   "source": [
    "## Generate the Chapters of the Book\n",
    "\n",
    "Next, we create a function capable of producing the text that makes up a chapter. To ensure that the function has enough context to generate each chapter, we provide the synopsis, the table of contents, and the chapter number. To test this code, we request that it develop a single chapter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ATXhVI9NfUTQ",
    "outputId": "6fd12d00-a177-4f99-9ca1-27ac10bd7444"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mia Carter stood at the edge of the rooftop, her breath forming small clouds in the chilly night air as she surveyed the sprawling city beneath her. The lights twinkled like distant stars, but beneath that shimmering facade lay a world riddled with shadows—betrayal, deceit, and danger. As a seasoned intelligence officer, she had learned that nothing was ever as it appeared.\n",
      "\n",
      "Her phone buzzed in her pocket, pulling her from her thoughts. The screen lit up with an encrypted message from her contact within the agency. She quickly glanced around, ensuring no one was watching, before unlocking the message. \n",
      "\n",
      "“I need you to meet me. Urgent. -R”\n",
      "\n",
      "R had been her mentor, a man she trusted implicitly, which is why the urgency in his message sent a shiver down her spine. They had spent years in the field together, unraveling conspiracies and exposing threats, but something felt different this time. The stakes seemed higher, the atmosphere charged with an unspoken tension that made the hair on the back of her neck stand on end.\n",
      "\n",
      "Mia made her way down the stairwell, her footsteps echoing quietly in the dimly lit corridor. She slipped into a shadowy alcove just outside the building, where the city’s sounds faded into the background. The air was heavy with the scent of rain, and she could feel the first droplets begin to fall as she waited for R.\n",
      "\n",
      "Minutes felt like hours as she replayed their last encounter in her mind. R had seemed distracted, his gaze darting around as if he were being watched. He had warned her of whispers—rumors of a rogue faction operating within the very organization that had trained and employed them for years. It was a threat she couldn’t ignore, not when the fate of nations could hang in the balance.\n",
      "\n",
      "Suddenly, a figure emerged from the shadows, and Mia instinctively reached for the concealed weapon at her hip. But as the figure stepped into the light, she relaxed. It was R, his face drawn and weary, the confident demeanor she had known replaced by an air of urgency and fear.\n",
      "\n",
      "“Mia,” he said, his voice barely above a whisper. “We don’t have much time.”\n",
      "\n",
      "“What did you find?” she asked, her heart racing. \n",
      "\n",
      "R glanced over his shoulder, ensuring they were alone before stepping closer. “There’s a covert operation underway. A faction within our organization is planning something catastrophic—a bioweapon, Mia. They’ve managed to steal it, and they’re looking to sell it to the highest bidder.”\n",
      "\n",
      "Mia’s stomach turned. The implications of such a weapon in the wrong hands were terrifying. “Who’s involved? Do we know who they’re working with?”\n",
      "\n",
      "R shook his head. “Not yet. But we’ve been monitoring some unusual communications. There’s a name that keeps coming up—a hacker known only as ‘Cipher.’ They believe Cipher has the keys to the operation, and if we can find him, we might be able to stop this before it escalates.”\n",
      "\n",
      "Mia felt a spark of determination ignite within her. She had dealt with hackers before, but none like Cipher. The stories surrounding the elusive figure were legendary, a ghost in the digital world, able to slip through the tightest of security like water through a sieve.\n",
      "\n",
      "“Then we need to find him,” Mia said firmly. “We can’t let this get out of hand. If they’re selling that bioweapon, it could spark a global incident.”\n",
      "\n",
      "R nodded, his expression grave. “I’m counting on you, Mia. You’re one of the few I trust to navigate this mess. But be careful. There are eyes everywhere, and this faction… they won’t hesitate to eliminate anyone who stands in their way.”\n",
      "\n",
      "As the rain began to pour, Mia felt the weight of the world on her shoulders. Shadows of betrayal lurked in every corner, and she was about to step into a labyrinth of deception that could lead her to danger or salvation. She knew one thing for sure—she wouldn’t back down. Not now, not ever.\n",
      "\n",
      "“Let’s get to work,” she said, determination hardening her resolve. With R by her side, she felt ready to face the storm ahead, knowing that the battle against betrayal was just beginning.\n"
     ]
    }
   ],
   "source": [
    "def render_chapter(num, chapter_title, title, subject, synopsis, toc):\n",
    "  txt = query_llm(f\"\"\"\n",
    "  Write Chapter {num}, titled \"{chapter_title}\" for a book of the title '{title}' for a book on\n",
    "  the subject '{subject}' the book synopsis is '{synopsis}' the table of contents is '{toc}'.\n",
    "  Give me only the chapter text, no chapter heading, no chapter title, number, no additional text.\n",
    "  \"\"\").strip(\" '\\\"\")\n",
    "  return txt\n",
    "\n",
    "txt = render_chapter(1, toc2[0], title, SUBJECT, synopsis, toc)\n",
    "print(txt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6s7Igm5cSf50"
   },
   "source": [
    "We can now generate the entire book in Markdown, which allows some formatting. We begin by rendering the title and synopsis, the table of contents, and each chapter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "uq8xv3RIBkIv",
    "outputId": "c29e83b4-1e06-4a70-904a-82fb485a7ae2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rendering chapter 1/20: Shadows of Betrayal\n",
      "Rendering chapter 2/20: The Whispering Threat\n",
      "Rendering chapter 3/20: A Dangerous Alliance\n",
      "Rendering chapter 4/20: The Hacker's Code\n",
      "Rendering chapter 5/20: Undercover in the Abyss\n",
      "Rendering chapter 6/20: The Stolen Secrets\n",
      "Rendering chapter 7/20: A Race Against Time\n",
      "Rendering chapter 8/20: Web of Deceit\n",
      "Rendering chapter 9/20: The Ex-Spy's Redemption\n",
      "Rendering chapter 10/20: Unmasking the Enemy\n",
      "Rendering chapter 11/20: The Brink of War\n",
      "Rendering chapter 12/20: Double Edges\n",
      "Rendering chapter 13/20: Infiltration\n",
      "Rendering chapter 14/20: The Countdown Begins\n",
      "Rendering chapter 15/20: Betrayals Unveiled\n",
      "Rendering chapter 16/20: The Final Confrontation\n",
      "Rendering chapter 17/20: Echoes of the Past\n",
      "Rendering chapter 18/20: Unraveling the Veil\n",
      "Rendering chapter 19/20: A New Dawn\n",
      "Rendering chapter 20/20: The Price of Truth\n"
     ]
    }
   ],
   "source": [
    "import base64\n",
    "\n",
    "book = \"\"\n",
    "\n",
    "# Render the title\n",
    "book += f\"# {title}\\n\"\n",
    "\n",
    "# Read and encode the image as base64\n",
    "with open(file_path, \"rb\") as image_file:\n",
    "    encoded_string = base64.b64encode(image_file.read()).decode('utf-8')\n",
    "\n",
    "# Render the book cover\n",
    "book = f\"# {title}\\n<img src='data:image/jpeg;base64,{encoded_string}' alt='title'>\\n\\n\"\n",
    "book += f\"## Synopsis\\n\\n{synopsis}\\n\\n\"\n",
    "\n",
    "# Render the toc\n",
    "book += f\"\\n## Table of Contents\\n\\n\"\n",
    "num = 1\n",
    "for chapter_title in toc2:\n",
    "  book += f\"{num}. {chapter_title}\\n\"\n",
    "  num += 1\n",
    "\n",
    "\n",
    "# Render the book\n",
    "chapter = 1\n",
    "for chapter_title in toc2:\n",
    "  print(f\"Rendering chapter {chapter}/{len(toc2)}: {chapter_title}\")\n",
    "  txt = render_chapter(chapter, chapter_title, title, SUBJECT, synopsis, toc)\n",
    "  book += f\"\\n\\n## Chapter {chapter}: {chapter_title}\\n\"\n",
    "  book += f\"{txt}\\n\"\n",
    "  chapter += 1\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xXVa0IxKR5V7"
   },
   "source": [
    "## Generate a PDF of the Book\n",
    "\n",
    "Now that we have generated the book, we have saved it as a PDF."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "DJNvL2xsfVoF",
    "outputId": "c490fef2-e5e2-48f1-e653-1093fe7d0603"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import markdown\n",
    "import pdfkit\n",
    "\n",
    "# Convert Markdown to HTML\n",
    "html = markdown.markdown(book)\n",
    "options = {\n",
    "    'encoding': \"UTF-8\",  # Ensures UTF-8 encoding\n",
    "}\n",
    "\n",
    "pdfkit.from_string(html, 'output.pdf', options=options)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NTsMT8sYYh6C"
   },
   "source": [
    "We can now download the generated book."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 17
    },
    "id": "pqcpXCsABZZo",
    "outputId": "f69bea67-28af-4e64-b36a-b5ced076f425"
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "    async function download(id, filename, size) {\n",
       "      if (!google.colab.kernel.accessAllowed) {\n",
       "        return;\n",
       "      }\n",
       "      const div = document.createElement('div');\n",
       "      const label = document.createElement('label');\n",
       "      label.textContent = `Downloading \"${filename}\": `;\n",
       "      div.appendChild(label);\n",
       "      const progress = document.createElement('progress');\n",
       "      progress.max = size;\n",
       "      div.appendChild(progress);\n",
       "      document.body.appendChild(div);\n",
       "\n",
       "      const buffers = [];\n",
       "      let downloaded = 0;\n",
       "\n",
       "      const channel = await google.colab.kernel.comms.open(id);\n",
       "      // Send a message to notify the kernel that we're ready.\n",
       "      channel.send({})\n",
       "\n",
       "      for await (const message of channel.messages) {\n",
       "        // Send a message to notify the kernel that we're ready.\n",
       "        channel.send({})\n",
       "        if (message.buffers) {\n",
       "          for (const buffer of message.buffers) {\n",
       "            buffers.push(buffer);\n",
       "            downloaded += buffer.byteLength;\n",
       "            progress.value = downloaded;\n",
       "          }\n",
       "        }\n",
       "      }\n",
       "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
       "      const a = document.createElement('a');\n",
       "      a.href = window.URL.createObjectURL(blob);\n",
       "      a.download = filename;\n",
       "      div.appendChild(a);\n",
       "      a.click();\n",
       "      div.remove();\n",
       "    }\n",
       "  "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "download(\"download_a3f181c2-7849-4ccf-a80c-826263f13c78\", \"output.pdf\", 293243)"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from google.colab import files\n",
    "files.download(\"output.pdf\")"
   ]
  }
 ],
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  "anaconda-cloud": {},
  "colab": {
   "provenance": []
  },
  "kernelspec": {
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    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
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   "types_to_exclude": [
    "module",
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